Methods, compositions, kits, and systems for enhancing analyte capture for spatial analysis
US-2024417784-A1 · Dec 19, 2024 · US
US2025066766A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2025066766-A1 |
| Application number | US-202418932442-A |
| Country | US |
| Kind code | A1 |
| Filing date | Oct 30, 2024 |
| Priority date | Jul 30, 2014 |
| Publication date | Feb 27, 2025 |
| Grant date | — |
A practical reading order for non-experts. Skip the full description unless you need deep technical detail.
What the patent document calls the invention.
A short plain-language summary of the technical disclosure.
Who owns or filed the patent and who is credited as inventor.
Filing, priority, publication, and grant dates set the timeline.
The legal scope of protection — read this for what is actually claimed.
Technology tags used to group this patent with similar filings.
Prior art links and similar publications in this corpus.
Official abstract text for this publication.
The present invention generally relates to systems and methods for imaging or determining nucleic acids, for instance, within cells. In some embodiments, the transcriptome of a cell may be determined. Certain embodiments are directed to determining nucleic acids, such as mRNA, within cells at relatively high resolutions. In some embodiments, a plurality of nucleic acid probes may be applied to a sample, and their binding within the sample determined, e.g., using fluorescence, to determine locations of the nucleic acid probes within the sample. In some embodiments, codewords may be based on the binding of the plurality of nucleic acid probes, and in some cases, the codewords may define an error-correcting code to reduce or prevent misidentification of the nucleic acids. In certain cases, a relatively large number of different targets may be identified using a relatively small number of labels, e.g., by using various combinatorial approaches.
Opening claim text (preview).
1 - 176 . (canceled) 177 . A method for imaging RNA spatial organization in a sample comprising: a. contacting the sample comprising a plurality of distinct RNA species in situ with a plurality of primary nucleic acid probe pools, each of the nucleic acid probes comprising a target sequence and one or more read sequences, wherein each pool of nucleic acid probes hybridizes to a distinct RNA species and each pool of probes encodes an N-bit codeword with a Hamming weight of at least 2 that was assigned to each distinct RNA species, wherein each assigned N-bit codeword is a valid codeword with a Hamming distance equal to or greater than 2 between valid codewords, and wherein each of the read sequences correspond to a bit value for the codewords assigned to the distinct RNA species; b. contacting the sample with a plurality of readout probes comprising a fluorescent label, wherein the readout probes hybridize to the read sequences; c. imaging the readout probes hybridized to the read sequences; and, d. repeating steps b) and c) in one or more sequential hybridization and imaging rounds until all N positions in the N-bit codeword have been imaged, providing an imaged codeword corresponding to each distinct RNA species in a spatial organization. 178 . The method of claim 177 , wherein the assigned N-bit codewords have a Hamming distance equal to or greater than 4 between each of the valid codewords. 179 . The method of claim 177 , wherein the N-bit codeword has a Hamming weight of 4. 180 . The method of claim 177 , wherein the imaged codeword is matched to a valid codeword assigned to a distinct RNA species. 181 . The method of claim 177 , wherein the Hamming distance is 4 or greater, and the imaged codewords are matched to valid codewords or discarded. 182 . The method of claim 177 , wherein the N-bit codeword has a Hamming weight of 4, the Hamming distance is 4 or greater, and the imaged codewords are matched to valid codewords or discarded. 183 . The method of claim 177 , wherein the RNA species is an RNA transcript. 184 . The method of claim 177 , further comprising determining spatial organization of a transcriptome from a single cell. 185 . The method of claim 177 , wherein each primary nucleic acid probe pool comprises at least 10 different primary nucleic acid probes. 186 . The method of claim 177 , wherein each primary nucleic acid probe pool comprises at least four distinct read sequences. 187 . The method of claim 177 , wherein each primary nucleic acid probe pool comprises four distinct read sequences. 188 . The method of claim 177 , wherein each primary nucleic acid probe pool comprises at least eight distinct read sequences. 189 . The method of claim 177 , wherein the primary nucleic acid probes comprise a target sequence, with an average length of between 10 and 200 nucleotides, that hybridize the distinct RNA species. 190 . The method of claim 177 , wherein each primary nucleic acid probe pool comprises at least 10 different target sequences. 191 . The method of claim 177 , wherein after each hybridization and imaging round, the fluorescent label of the readout probe is quenched to inactivate. 192 . The method of claim 177 , wherein after each hybridization and imaging round, the fluorescent label is inactivated by chemically or enzymatically cleaving the fluorescent label from the readout probe. 193 . The method of claim 177 , wherein the N-bit binary code comprises at least a 16-bit code. 194 . The method of claim 177 , wherein the plurality of readout probes comprises at least two distinct fluorescent labels. 195 . The method of claim 177 , wherein the plurality of readout probes comprises at least three distinct fluorescent labels. 196 . The method of claim 177 , wherein the spatial organization of the distinct RNA species is imaged in 2 dimensions. 197 . The method of claim 177 , wherein the spatial organization of the distinct RNA species is imaged in 3 dimensions. 198 . The method of claim 177 , further comprising determining abundance for the distinct RNA species.
using probe arrays or probe chips (C12Q1/6874 takes precedence) · CPC title
Analysis or design of chemical reactions, syntheses or processes · CPC title
Probabilistic graphical models, e.g. probabilistic networks · CPC title
Signal processing, e.g. from mass spectrometry [MS] or from PCR · CPC title
Polymerase chain reaction [PCR]; Primer or probe design; Probe optimisation · CPC title
Related publications grouped by family.
Answers are generated from the same data shown on this page.